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"Service Reliability Engineer" Jobs in India

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Service Reliability Engineer

WirelessCar ·

MidHybrid

WirelessCar’s Journey WirelessCar drives the future of mobility by connecting vehicles and developing cutting-edge digital services. We help leading brands—like Volkswagen, Volvo, and Jaguar Land Rover—innovate, enhance

Skills

ansibleawsdockerdynatrace

Discovered 2 weeks ago

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Service Reliability Engineer 3

Amadeus · Bengaluru

SeniorFull-timeHybrid

Job Title Service Reliability Engineer 3 Summary of the Role As a Service Reliability Engineer, you will help build, maintain, and optimize cloud-based platforms that support Travel Intelligence, Data Analytics, and Data

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Senior Associate | Site Reliability Engineer (SRE) | Bengaluru | Engineering as a Service/ Operate

Deloitte US | Together Makes Progress · Bengaluru

SeniorOnsite

Job Title: Senior Site Reliability Engineer JOB DESCRIPTION The Infrastructure Reliability Engineering (IRE) team is a new group focused on ensuring the stability, performance, and scalability of our company's infrastruc

Skills

awsazuregcpjava

Discovered 2 weeks ago

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Senior Vice President, Site Reliability Engineer Manager

8599184-CLIENT SERVICE GROUP BUS US · Pune

Senior

BNY is seeking an accomplished and strategic Senior Vice President – Site Reliability Engineer (SRE) to lead reliability engineering outcomes for critical technology platforms within Global Payment and Trade. This role i

Skills

ansibleawsazuredynatrace

Discovered 4 weeks ago

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Senior Site Reliability Engineer - Application Support (SRE)

73 Strings · Bengaluru

SeniorHybrid

OVERVIEW OF 73 STRINGS: 73 Strings is an innovative platform providing comprehensive data extraction, monitoring, and valuation solutions for the private capital industry. The company's AI-powered platform streamlines mi

Skills

angulardatadogdynatracehtml-css

Discovered 4 weeks ago

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Identity Platform Engineer – Authentication Service

Ford ·

SeniorFull-timeRemote

The Security Platform Engineer – Authentication position is an opportunity to join the Security Platform team that provides Authentication Services for applications with B2E/B2B/B2C users, keeps on improving the Security

Skills

ADFSEntra IDActive DirectoryGoogle Cloud Platform

Discovered 4 weeks ago

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Senior/Lead DevOps + MLOps Engineer

Luxoft · Noida

LeadFull-timeOnsite

Project description We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established

Skills

8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores

Discovered 2 weeks ago

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Senior/Lead DevOps + MLOps Engineer

Luxoft · Hyderabad

LeadFull-timeOnsite

Project description We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established

Skills

8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores

Discovered 2 weeks ago

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Senior/Lead DevOps + MLOps Engineer

Luxoft · Gurugram

LeadFull-timeOnsite

Project description We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established

Skills

8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores

Discovered 2 weeks ago

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Senior/Lead DevOps + MLOps Engineer

Luxoft · Bengaluru

LeadFull-timeOnsite

Project description We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established

Skills

8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores

Discovered 2 weeks ago

Apply

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